PubMed Health⌕ Search

PubMed · 14617543

Contrast echocardiography for left ventricular opacification.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J Timperley, A R J Mitchell, H Becher. 2003. Contrast echocardiography for left ventricular opacification.. https://doi.org/10.1136/heart.89.12.1394

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Assessment of cardiac function by CMR.

Cardiovascular magnetic resonance (CMR) has emerged as a valuable tool for the non-invasive morphological and functional assessment of the heart. By means of a variety of pulse sequences, accurate estimations of ventricular mass, volumes, ejection fraction and flow volume can be readily performed. When carefully prescribed, CMR sequences provide values on these parameters that can be considered as referential for both the right and left ventricle. This is due to the anatomical approach of the CMR method that, in contrast with other imaging techniques, is based on direct measurements rather than on indirect geometrical assumptions.

Cardiac Volume↗

Impact of multi-detector row computed tomography on the tactics of cardiovascular surgery: from qualitative evaluation to quantitative assessment.

OBJECTIVE: We assessed the role of multi-detector row computed tomography in cardiovascular surgery. METHODS: The efficacy of multi-detector row computed tomography was assessed concerning the graft patency of coronary artery bypass, arterial atheromatous degeneration, small vessel imaging, and left ventricular volume measurement. Images were reconstructed using both the volume-rendering and the maximum-intensity-profile methods. Arterial atherosclerotic degeneration was assessed by aortic wall volume and aortic calcification volume. RESULTS: In the assessment of bypass graft patency, multi-detector row computed tomography showed a 98% correct positive ratio with sensitivity and specificity of 98% and 100%, respectively. Atheromatous degeneration showed matching results in more than 70% of cases compared with intraoperative findings. More than 92% of arterial branches with diameters of 3 mm or greater were detected by preoperative multi-detector row computed tomography images, though only 6% of branches with diameters of 2 mm or less could be visualized. There was a positive linear correlation between left ventricular volumes determined by multi-detector row computed tomography and those calculated from cine angiography. CONCLUSION: Multi-detector row computed tomography clearly visualized coronary bypass grafts and aortic arterial branches, providing detailed vascular images. Atheromatous degeneration assessed by multi-detector row computed tomography was equivalent with intraoperative findings in more than 70% of cases. Left ventricular volumes measured by multi-detector row computed tomography correlated closely with those determined by cine-angiography. Multi-detector row computed tomography is an efficient and promising modality in cardiovascular surgery.

Cardiac Volume↗

Computer-aided diagnosis via model-based shape analysis: automated classification of wall motion abnormalities in echocardiograms.

RATIONALE AND OBJECTIVE: Shape analysis of endocardial contour sequences from echocardiograms can provide classification of wall motion abnormalities (WMA). MATERIALS AND METHODS: We previously reported on active appearance motion models (AAMM) for automated detection of endocardial contours in sequences of echocardiograms. The shape analysis of AAMM renders eigenvariations of shape/motion, including typical normal and pathologic endocardial contraction patterns. A set of stress echocardiograms (single-beat four-chamber and two-chamber sequences with expert-verified endocardial contours) of 129 infarct patients was split randomly into training (n = 65) and testing (n = 64) sets. AAMMs were generated from the training set and AAMM shape coefficients (ASCs) were extracted for all sequences and statistically related to regional/global visual wall motion scoring (VWMS) and volumetric parameters. RESULTS: Linear regression showed clear correlations between ASCs and VWMS. Discriminant analysis showed good prediction by ASCs of both segmental (74% correctness) and global WMA (90% correctness). Volumetric parameters correlated poorly to regional VWMS. CONCLUSION: 1) ASCs show promising accuracy for automated WMA classification. 2) VWMS and endocardial border motion are closely related; with accurate automated border detection, automated WMA classification should be feasible. 3) ASC shape analysis allows contour set evaluation by direct comparison to clinical parameters.

Cardiac Volume↗